LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions
| Main Author: | Brandon Paulsen |
|---|---|
| Format: | info software Journal |
| Bahasa: | eng |
| Terbitan: |
, 2022
|
| Online Access: |
https://zenodo.org/record/5835186 |
Daftar Isi:
- This artifact contains the code for the paper LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions. It contains code that implements the algorithm described in the paper, scripts to reproduce Tables 1 and 2, and documentation on how to use the scripts. In addition, it also contains a walkthrough for instantiating the LinSyn module to bound an activation function.